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Record W2883010509 · doi:10.71889/5fylantbak.29863025

Elegy For The Eastern Cougar: Forgotten Souls Of Appalachia

2018· article· en· W2883010509 on OpenAlexaboutno aff
Ashley Goodman

Bibliographic record

VenueNC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsEthnologyGeographyWildlifeExtinction (optical mineralogy)HistoryArchaeologyAncient historyEcology

Abstract

fetched live from OpenAlex

The eastern cougar once ranged from eastern Canada to Georgia, thriving in the mountains and forests of Appalachia and its surroundings. Before Europeans arrived, cougars roamed freely. Soon after the European colonization of the United States, settlers came to see the eastern cougar as a threat. For centuries, cougars were killed mercilessly and recklessly. State governments placed bounties on the cougars, paying citizens for the cats’ torn away scalps. By 1850, eastern cougars were considered rare. By 1900, they were almost entirely extirpated south of the Mississippi. However, although the last known eastern cougar was killed in Maine in 1938, the cougar was not formally declared extinct until 2018. For those 80 years, legends and misperceptions kept the animal alive. Even today, the Fish and Wildlife Service receives hundreds of reported eastern cougar sightings each year. Ninety percent are other animals; the remainder are escaped captives or cougars migrating from the west. This piece, combining narrative, poetic voice, and scientific and anthropological data, will examine the life and death of the eastern cougar, the parts humans have played in its actual extinction and the denial of its extinction, and human impact on biodiversity and extinction today.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.262
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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